Description

Faculty

Professional interest

This course gives theoretical background and training for the Statistical modeling and the data analysis. It also gives mathematical tools to apply complex models in practice.

Competencies and learning outcomes

General competencies

Capacity to identify, interpret, formulate, and resolve basic problems within the branch of social and legal sciences.

Capacity for planning, organizing, directing, and controlling systems and processes within a framework that guarantee respect for the values, rights and basic principles of the legal system, business competitiveness, protection and conservation of the environment, and sustainable development in the corresponding field.

Adequate knowledge of government, businesses, institutions, governmental agencies, and organizations in general, regulations and procedures necessary for carrying out work and other activities.

Capability for developing new lines, processes, projects, and products.

Capacity to evaluate, optimize, and compare criteria in decision making.

Ability to communicate in formal, graphic, and symbolic styles, as well as with oral and written forms of expression.

Ability to work with multidisciplinary and multicultural teams.

Ability to update knowledge within the branch of social and legal sciences.

Capacity to consolidate, expand, and integrate fundamental knowledge within the branch of social and legal sciences.

Disposition of methodologies and efficient self-learning skills for adapting to and updating new skills and scientific advances, as well as to changing needs in order to adopt an aptitude for innovation and creativity in practicing the profession.

Specific competencies

Capacity to identify relationships and associations in business data analysis.

Comprehend the content of the information derived from the economic activity carried out by the business, used by its users in decision making.

Grading

The final grade is derived as follows: Final score: 0.6xEF+0.05xT+0.35xEC, where EF = final score of theoretical and practical examinations (0-10); EC = rating of computer practices about statistical data analysis preferably elated with companies and industries (0-10). T = score for participation in group tutorials (0-10). The number of participations and the quality of them are basically assessed. To pass the course, the students should obtain at least 5 points in each of the EF and EC parts.

CHARACTERIZATION AND FINAL QUALIFICATION EXAMINATION (EF): The evaluation is conducted by an examination consisting of solving theoretical and practical questions about the content taught in the course.